Turn AI ambition into AI value

with Data Confidence™

Deasy automatically maps, filters, and enriches your organization's unstructured data — emails, PDFs, contracts, SharePoints — so every AI project starts with data it can actually use.

• Get better AI results from high-quality, relevant knowledge instead of noisy, unfiltered files
• Automatically detect and remove sensitive content across your unstructured data at petabyte scale
• Keep your AI reliable over time with datasets on auto-refresh

Create a trusted data foundation to unlock value, reduce risk and power smarter decisions.

• Drive understanding of key business terminology, rules and metrics
• Assure clear roles and responsibilities to safeguard data
• Protect sensitive data and ensure regulatory compliance

Structure AI's move from experimentation to scalable, value-driven execution with governance, visibility and automated oversight.

• Standardize AI foundations with ownership, policies and lifecycle
• Gain visibility and automatically trace AI assets across platforms and usage
• Drive AI portfolio health with trust score and dashboards

Automate data quality monitoring and remediation to minimize downtime, reduce risk and increase trust.

• Define complex quality checks with natural language
• Monitor data 24/7 to spot outliers and silent schema changes
• Identify root causes to understand business impact and resolve issues

Trace the complete journey of data to understand every transformation and dependency, giving you total clarity and control.

• Speed resolution by tracing root causes and downstream impacts
• Assure trustworthy business decisions with full data context
• Establish a visual, defensible data trail for regulatory proof

Centrally manage masking and access controls across data sources to simplify compliance and accelerate analytics and AI initiatives.

• Save time and maintain oversight by centralizing access provisioning
• Mask and protect sensitive data without slowing teams down
• Standardize access governance and maintain uniform compliance across sources